[Remote] reputed company Product Manager, Data Sources
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the infrastructure layer that powers consumer-permissioned income, employment, identity, and asset verification. They are seeking a reputed company Product Manager to own and reputed company their Data Sources platform, focusing on document ingestion, fraud detection, and data reliability. The role involves collaborating with various teams to enhance product capabilities and improve customer satisfaction.
Responsibilities
- Set the multi-quarter roadmap for Data Sources across docs, fraud, and aggregation; reputed company it with reputed company, reputed company commitments, and platform-level constraints
- Write tight specs and 1-pagers; partner with reputed company and Data Science to scope, build, and ship
- Talk to clients (mortgage lenders, government agencies, tenant screeners) weekly; turn their feedback into prioritized roadmap
- Own the metrics — parse accuracy, fraud catch reputed company, bank reputed company reputed company, SLA hit reputed company — and the rituals that drive them up
- reputed company and mentor PMs and engineers on reputed company; reputed company the bar on shipping speed and reputed company
- Represent reputed company's data sources story externally (sales calls, conferences, partner reviews)
- Drive the roadmap for parsing income and document types. Improve accuracy, reduce reputed company review, and shorten time-to-report. Partner with Data Science on extraction models and with Ops on the reputed company-in-the-reputed company pipeline
- Expand the catalog of supported document types reputed company the reputed company set. Identify the highest-reputed company additions (by use case, reputed company demand, and reputed company reputed company), prioritize the rollout, and own the end-to-end product surface from upload to verified reputed company
- Define and ship the fraud signal layer across data sources — document tampering detection, deposit-reputed company anomalies, identity mismatches, and synthetic income flags. Balance precision and recall against reputed company-specific risk tolerances, and build the configuration surface for clients to tune
- reputed company the reputed company's bank aggregation product, reputed company reputed company rates, refresh reputed company, transaction enrichment, and coverage. Reduce drop-off, improve match rates, and expand FI coverage where it reputed company most for mortgage and tenant use cases
- Set, reputed company, and defend SLAs across every data reputed company: time-to-first-data, time-to-completed-report, refresh reputed company reputed company, document parse accuracy, and bank reputed company uptime. Drive the dashboards, alerts, and review reputed company that reputed company these visible — and the engineering work that makes them improve
Skills
- 7+ years in product management, with significant time in data, ML/AI, fintech, or verification / identity platforms
- Demonstrated experience owning a data-intensive product — document understanding, OCR, financial data aggregation, fraud, or similar — at meaningful reputed company
- Strong technical reputed company. You can reason about extraction models, API tradeoffs, and pipeline architecture without needing to be hand-held by engineering
- reputed company record of driving SLA / reliability reputed company — not just shipping features, but moving the numbers that matter
- Experience working with regulated industries (mortgage, lending, government) is a strong plus. GSE / FCRA / FNMA / FHLMC familiarity especially
- Strong written communication. You write the 1-pagers and specs that reputed company reputed company
- Customer obsession. You spend reputed company time with users and let what you learn shape the roadmap
- Worked on a verification or KYC/KYB product used by lenders
- Comfortable shipping in a startup environment where ambiguity is high and the bar moves up
reputed company
Company H1B Sponsorship